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            <h1>info.debatty.jinu.Case</h1>
            <p>2017-07-28 11:06:40</p>
            <p>spark.kmedoids.eval.tv.TestCase : -r Dropbox/eurecom-cluster/results/ -d commercials/dataset/ -s 1200000000</p>
            <p>Iterations: 20</p>
            <p>Tests:</p>
            <ul>
                                    <li>spark.kmedoids.eval.tv.ClaransTest</li>
                                    <li>spark.kmedoids.eval.tv.HeuristicTest</li>
                                    <li>spark.kmedoids.eval.tv.SimulatedAnnealingTest</li>
                            </ul>

            <h2>System</h2>
            <p>Hostname: spark-submit0-100675-prod</p>
            <p>Processors (cores): 32</p>
            <p>Memory (MB): 10923</p>

            <h2>Results</h2>
                            <canvas id="chart_0" width="640" height="480"></canvas>
            
            <canvas id="chart_time" width="640" height="480"></canvas>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#results-table">
                    Show/hide results table
                </a>
            </p>

            <table class="table table-condensed collapse in" id="results-table">
                <tr>
                    <th>Test</th>
                    <th>Parameter value</th>
                                            <td>r0</td>
                                        <th>time (ms)</th>
                    <th></th>
                </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>1257.7910352364452</td>
                                                <td>112041</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>1348.6559389876702</td>
                                                <td>99040</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>1140.5012637314337</td>
                                                <td>108903</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>1353.2193923781294</td>
                                                <td>106790</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>1144.6264763427478</td>
                                                <td>110139</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>1384.4252025169358</td>
                                                <td>108266</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>1254.0235112265732</td>
                                                <td>97106</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>1253.833376706415</td>
                                                <td>99135</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>1347.8918874790186</td>
                                                <td>97636</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>1338.2632831708436</td>
                                                <td>95902</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>1244.6042137015716</td>
                                                <td>106902</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>1143.620722674986</td>
                                                <td>103598</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>1389.7636964595608</td>
                                                <td>94758</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>1386.040291723013</td>
                                                <td>102886</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>1258.904912929135</td>
                                                <td>104487</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>1344.81293200524</td>
                                                <td>102244</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>1342.9062523812918</td>
                                                <td>106953</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>1145.0896192466075</td>
                                                <td>106760</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>1255.5343560863746</td>
                                                <td>95090</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>1144.0724660207356</td>
                                                <td>103618</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>1.2E9</td>
                                                    <td>1125.4216269974347</td>
                                                <td>108860</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>1.2E9</td>
                                                    <td>1122.528548493604</td>
                                                <td>99811</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>1.2E9</td>
                                                    <td>770.4675782491644</td>
                                                <td>95968</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>1.2E9</td>
                                                    <td>1306.0915000053787</td>
                                                <td>107776</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>1.2E9</td>
                                                    <td>1306.2401519024165</td>
                                                <td>95516</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>1.2E9</td>
                                                    <td>1362.4603289904944</td>
                                                <td>105138</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>1.2E9</td>
                                                    <td>1239.646976888845</td>
                                                <td>92612</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>1.2E9</td>
                                                    <td>1174.42712365405</td>
                                                <td>97220</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>1.2E9</td>
                                                    <td>1321.518928620929</td>
                                                <td>94218</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>1.2E9</td>
                                                    <td>1307.5702151381251</td>
                                                <td>92408</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>1.2E9</td>
                                                    <td>1132.9549356599189</td>
                                                <td>102353</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>1.2E9</td>
                                                    <td>1307.6556985263487</td>
                                                <td>101299</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>1.2E9</td>
                                                    <td>1219.7309521669604</td>
                                                <td>99416</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>1.2E9</td>
                                                    <td>1229.360533400645</td>
                                                <td>99905</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>1.2E9</td>
                                                    <td>1329.193557326152</td>
                                                <td>94130</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>1.2E9</td>
                                                    <td>1107.0364548561965</td>
                                                <td>100376</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>1.2E9</td>
                                                    <td>1222.6079926560992</td>
                                                <td>107682</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>1.2E9</td>
                                                    <td>1294.1383370878546</td>
                                                <td>90403</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>1.2E9</td>
                                                    <td>1242.52517719649</td>
                                                <td>93678</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>1.2E9</td>
                                                    <td>1134.2979328663794</td>
                                                <td>97551</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>1.2E9</td>
                                                    <td>1371.2816050970941</td>
                                                <td>109442</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>1.2E9</td>
                                                    <td>1393.6365203271623</td>
                                                <td>104600</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>1.2E9</td>
                                                    <td>1391.1226057202816</td>
                                                <td>104455</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>1.2E9</td>
                                                    <td>1404.0894816472428</td>
                                                <td>99847</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>1.2E9</td>
                                                    <td>1357.2735179518384</td>
                                                <td>101119</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>1.2E9</td>
                                                    <td>1318.3300949696961</td>
                                                <td>103196</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>1.2E9</td>
                                                    <td>1402.1695063761044</td>
                                                <td>94361</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>1.2E9</td>
                                                    <td>1430.8339950661937</td>
                                                <td>94996</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>1.2E9</td>
                                                    <td>1393.441997139795</td>
                                                <td>90773</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>1.2E9</td>
                                                    <td>1373.0447062494623</td>
                                                <td>91954</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>1.2E9</td>
                                                    <td>1399.0212067464638</td>
                                                <td>93413</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>1.2E9</td>
                                                    <td>1411.098425004567</td>
                                                <td>97465</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>1.2E9</td>
                                                    <td>1391.789106290008</td>
                                                <td>94350</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>1.2E9</td>
                                                    <td>1398.35056171038</td>
                                                <td>95221</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>1.2E9</td>
                                                    <td>1388.5315342735971</td>
                                                <td>93914</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>1.2E9</td>
                                                    <td>1384.8484688659275</td>
                                                <td>96641</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>1.2E9</td>
                                                    <td>1409.0004711758722</td>
                                                <td>99837</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>1.2E9</td>
                                                    <td>1404.427835443598</td>
                                                <td>89745</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>1.2E9</td>
                                                    <td>1168.556872240287</td>
                                                <td>94561</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>1.2E9</td>
                                                    <td>1360.5819538964556</td>
                                                <td>99884</td>
                        <td></td>
                    </tr>
                            </table>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#confidence">
                    Show/hide confidence intervals
                </a>
            </p>
            <div class="collapse in" id="confidence">
                <h2>Confidence intervals</h2>
                <table class='table table-condensed'>
                    <tr>
                        <th>Test</th>
                        <th>Parameter value</th>
                        <th></th>
                                                    <td>r0</td>
                                                <th>time (ms)</th>
                    </tr>

                                            <tr>
                            <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                            <td>1.2E9</td>
                            <td>mean</td>
                                                            <td>1273.9290415502364</td>
                                                        <td>103112.70000000001</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                            <td>1.2E9</td>
                            <td>std dev</td>
                                                            <td>90.87530343439231</td>
                                                        <td>5296.114306486261</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                            <td>1.2E9</td>
                            <td>low</td>
                                                            <td>1231.3980903551592</td>
                                                        <td>100634.0422065178</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                            <td>1.2E9</td>
                            <td>high</td>
                                                            <td>1316.4599927453137</td>
                                                        <td>105591.35779348222</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                            <td>1.2E9</td>
                            <td>mean</td>
                                                            <td>1212.7937275341744</td>
                                                        <td>98815.99999999999</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                            <td>1.2E9</td>
                            <td>std dev</td>
                                                            <td>131.48057689437132</td>
                                                        <td>5459.712822600028</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                            <td>1.2E9</td>
                            <td>low</td>
                                                            <td>1151.2589233832064</td>
                                                        <td>96260.7757441076</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                            <td>1.2E9</td>
                            <td>high</td>
                                                            <td>1274.3285316851425</td>
                                                        <td>101371.22425589238</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.tv.ClaransTest</td>
                            <td>1.2E9</td>
                            <td>mean</td>
                                                            <td>1377.5715233096012</td>
                                                        <td>97488.7</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.tv.ClaransTest</td>
                            <td>1.2E9</td>
                            <td>std dev</td>
                                                            <td>54.72240410790259</td>
                                                        <td>5180.509963720803</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.tv.ClaransTest</td>
                            <td>1.2E9</td>
                            <td>low</td>
                                                            <td>1351.96064983317</td>
                                                        <td>95064.14670437672</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.tv.ClaransTest</td>
                            <td>1.2E9</td>
                            <td>high</td>
                                                            <td>1403.1823967860323</td>
                                                        <td>99913.25329562328</td>
                        </tr>
                                    </table>
            </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#similarity">
                    Show/hide similarity
                </a>
            </p>

            <div class="collapse in" id="similarity">
                <h2>Test similarity</h2>
                <p><a href=\"https://en.wikipedia.org/wiki/Student's_t-test\">Student's
                        t-test</a>: values above 0.95 indicate both tests produce the
                    same average value.</p>

                <!-- For each parameter value -->
                                    <h3>Parameter value = 1.2E9</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.tv.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.tv.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.tv.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.tv.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>2.2711179255528237E-5</td>
                                                                            <td>1.2834546959273924E-4</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.tv.HeuristicTest</th>
                                                                            <td>2.2711179255528237E-5</td>
                                                                            <td>1.0</td>
                                                                            <td>0.096324205472272</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.tv.SimulatedAnnealingTest</th>
                                                                            <td>1.2834546959273924E-4</td>
                                                                            <td>0.096324205472272</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#sources">
                    Show/hide sources
                </a>
            </p>
            <div class="collapse in" id="sources">
                <h2>Sources</h2>
                                    <h3>spark.kmedoids.eval.tv.ClaransTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.tv.HeuristicTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.tv.SimulatedAnnealingTest</h3>
                    <pre>
                    </pre>
                            </div>

            <h2>Classpath</h2>
            <ul>
                                    <li>/opt/spark/conf/</li>
                                        <li>/opt/spark/jars/jpam-1.1.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-core-1.8.0.jar</li>
                                        <li>/opt/spark/jars/hive-exec-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/jackson-module-paranamer-2.6.5.jar</li>
                                        <li>/opt/spark/jars/jersey-server-2.22.2.jar</li>
                                        <li>/opt/spark/jars/hive-beeline-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-shuffle-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/calcite-linq4j-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/core-1.1.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-jobclient-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-api-2.6.4.jar</li>
                                        <li>/opt/spark/jars/metrics-jvm-3.1.2.jar</li>
                                        <li>/opt/spark/jars/base64-2.3.8.jar</li>
                                        <li>/opt/spark/jars/protobuf-java-2.5.0.jar</li>
                                        <li>/opt/spark/jars/activation-1.1.1.jar</li>
                                        <li>/opt/spark/jars/py4j-0.10.4.jar</li>
                                        <li>/opt/spark/jars/commons-dbcp-1.4.jar</li>
                                        <li>/opt/spark/jars/joda-time-2.9.3.jar</li>
                                        <li>/opt/spark/jars/hadoop-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/aopalliance-1.0.jar</li>
                                        <li>/opt/spark/jars/jul-to-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/objenesis-2.1.jar</li>
                                        <li>/opt/spark/jars/calcite-avatica-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/javolution-5.5.1.jar</li>
                                        <li>/opt/spark/jars/jersey-client-2.22.2.jar</li>
                                        <li>/opt/spark/jars/spark-streaming_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/scala-compiler-2.11.8.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-1.7.0.jar</li>
                                        <li>/opt/spark/jars/libthrift-0.9.2.jar</li>
                                        <li>/opt/spark/jars/antlr-runtime-3.4.jar</li>
                                        <li>/opt/spark/jars/avro-1.7.7.jar</li>
                                        <li>/opt/spark/jars/netty-3.8.0.Final.jar</li>
                                        <li>/opt/spark/jars/scalap-2.11.8.jar</li>
                                        <li>/opt/spark/jars/commons-digester-1.8.jar</li>
                                        <li>/opt/spark/jars/snappy-0.2.jar</li>
                                        <li>/opt/spark/jars/jackson-module-scala_2.11-2.6.5.jar</li>
                                        <li>/opt/spark/jars/hadoop-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/commons-collections-3.2.2.jar</li>
                                        <li>/opt/spark/jars/datanucleus-core-3.2.10.jar</li>
                                        <li>/opt/spark/jars/spire_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/spark-graphx_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/gson-2.2.4.jar</li>
                                        <li>/opt/spark/jars/scala-xml_2.11-1.0.2.jar</li>
                                        <li>/opt/spark/jars/jersey-common-2.22.2.jar</li>
                                        <li>/opt/spark/jars/mesos-1.0.0-shaded-protobuf.jar</li>
                                        <li>/opt/spark/jars/curator-framework-2.6.0.jar</li>
                                        <li>/opt/spark/jars/eigenbase-properties-1.1.5.jar</li>
                                        <li>/opt/spark/jars/spark-sql_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/httpclient-4.5.2.jar</li>
                                        <li>/opt/spark/jars/guice-3.0.jar</li>
                                        <li>/opt/spark/jars/commons-logging-1.1.3.jar</li>
                                        <li>/opt/spark/jars/univocity-parsers-2.2.1.jar</li>
                                        <li>/opt/spark/jars/spark-mllib-local_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/commons-lang3-3.5.jar</li>
                                        <li>/opt/spark/jars/apacheds-i18n-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/jta-1.1.jar</li>
                                        <li>/opt/spark/jars/RoaringBitmap-0.5.11.jar</li>
                                        <li>/opt/spark/jars/hk2-api-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/jsr305-1.3.9.jar</li>
                                        <li>/opt/spark/jars/commons-compiler-3.0.0.jar</li>
                                        <li>/opt/spark/jars/javax.inject-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/commons-net-2.2.jar</li>
                                        <li>/opt/spark/jars/spark-hive-thriftserver_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/parquet-jackson-1.8.1.jar</li>
                                        <li>/opt/spark/jars/derby-10.12.1.1.jar</li>
                                        <li>/opt/spark/jars/opencsv-2.3.jar</li>
                                        <li>/opt/spark/jars/netty-all-4.0.42.Final.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-core-2.6.4.jar</li>
                                        <li>/opt/spark/jars/pyrolite-4.13.jar</li>
                                        <li>/opt/spark/jars/api-asn1-api-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/snappy-java-1.1.2.6.jar</li>
                                        <li>/opt/spark/jars/javax.annotation-api-1.2.jar</li>
                                        <li>/opt/spark/jars/spark-hive_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/pmml-schema-1.2.15.jar</li>
                                        <li>/opt/spark/jars/jackson-annotations-2.6.5.jar</li>
                                        <li>/opt/spark/jars/jcl-over-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/jetty-6.1.26.jar</li>
                                        <li>/opt/spark/jars/avro-mapred-1.7.7-hadoop2.jar</li>
                                        <li>/opt/spark/jars/pmml-model-1.2.15.jar</li>
                                        <li>/opt/spark/jars/kryo-shaded-3.0.3.jar</li>
                                        <li>/opt/spark/jars/mail-1.4.7.jar</li>
                                        <li>/opt/spark/jars/metrics-core-3.1.2.jar</li>
                                        <li>/opt/spark/jars/aopalliance-repackaged-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/spark-catalyst_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/oro-2.0.8.jar</li>
                                        <li>/opt/spark/jars/ivy-2.4.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-annotations-2.6.4.jar</li>
                                        <li>/opt/spark/jars/javax.servlet-api-3.1.0.jar</li>
                                        <li>/opt/spark/jars/java-xmlbuilder-1.0.jar</li>
                                        <li>/opt/spark/jars/scala-library-2.11.8.jar</li>
                                        <li>/opt/spark/jars/paranamer-2.3.jar</li>
                                        <li>/opt/spark/jars/xbean-asm5-shaded-4.4.jar</li>
                                        <li>/opt/spark/jars/spark-repl_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/scala-reflect-2.11.8.jar</li>
                                        <li>/opt/spark/jars/javax.inject-1.jar</li>
                                        <li>/opt/spark/jars/jline-2.12.1.jar</li>
                                        <li>/opt/spark/jars/spark-yarn_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/breeze_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/minlog-1.3.0.jar</li>
                                        <li>/opt/spark/jars/chill_2.11-0.8.0.jar</li>
                                        <li>/opt/spark/jars/mx4j-3.0.2.jar</li>
                                        <li>/opt/spark/jars/slf4j-api-1.7.16.jar</li>
                                        <li>/opt/spark/jars/spark-tags_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/chill-java-0.8.0.jar</li>
                                        <li>/opt/spark/jars/antlr4-runtime-4.5.3.jar</li>
                                        <li>/opt/spark/jars/validation-api-1.1.0.Final.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/json4s-ast_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/hk2-utils-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/parquet-common-1.8.1.jar</li>
                                        <li>/opt/spark/jars/xz-1.0.jar</li>
                                        <li>/opt/spark/jars/jackson-core-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/jackson-mapper-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/leveldbjni-all-1.8.jar</li>
                                        <li>/opt/spark/jars/super-csv-2.2.0.jar</li>
                                        <li>/opt/spark/jars/avro-ipc-1.7.7.jar</li>
                                        <li>/opt/spark/jars/zookeeper-3.4.6.jar</li>
                                        <li>/opt/spark/jars/parquet-column-1.8.1.jar</li>
                                        <li>/opt/spark/jars/api-util-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/parquet-encoding-1.8.1.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-bundle-1.6.0.jar</li>
                                        <li>/opt/spark/jars/guava-14.0.1.jar</li>
                                        <li>/opt/spark/jars/hive-jdbc-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/spark-core_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/hk2-locator-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/slf4j-log4j12-1.7.16.jar</li>
                                        <li>/opt/spark/jars/jersey-media-jaxb-2.22.2.jar</li>
                                        <li>/opt/spark/jars/jackson-core-2.6.5.jar</li>
                                        <li>/opt/spark/jars/parquet-format-2.3.0-incubating.jar</li>
                                        <li>/opt/spark/jars/spark-mllib_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/commons-compress-1.4.1.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-app-2.6.4.jar</li>
                                        <li>/opt/spark/jars/spark-sketch_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jtransforms-2.4.0.jar</li>
                                        <li>/opt/spark/jars/log4j-1.2.17.jar</li>
                                        <li>/opt/spark/jars/jdo-api-3.0.1.jar</li>
                                        <li>/opt/spark/jars/json4s-jackson_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/json4s-core_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/hive-cli-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/commons-cli-1.2.jar</li>
                                        <li>/opt/spark/jars/javassist-3.18.1-GA.jar</li>
                                        <li>/opt/spark/jars/osgi-resource-locator-1.0.1.jar</li>
                                        <li>/opt/spark/jars/antlr-2.7.7.jar</li>
                                        <li>/opt/spark/jars/ST4-4.0.4.jar</li>
                                        <li>/opt/spark/jars/guice-servlet-3.0.jar</li>
                                        <li>/opt/spark/jars/xercesImpl-2.9.1.jar</li>
                                        <li>/opt/spark/jars/scala-parser-combinators_2.11-1.0.4.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0.1.jar</li>
                                        <li>/opt/spark/jars/javax.ws.rs-api-2.0.1.jar</li>
                                        <li>/opt/spark/jars/lz4-1.3.0.jar</li>
                                        <li>/opt/spark/jars/apacheds-kerberos-codec-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-web-proxy-2.6.4.jar</li>
                                        <li>/opt/spark/jars/spark-launcher_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/spire-macros_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/spark-network-common_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-auth-2.6.4.jar</li>
                                        <li>/opt/spark/jars/commons-io-2.4.jar</li>
                                        <li>/opt/spark/jars/curator-recipes-2.6.0.jar</li>
                                        <li>/opt/spark/jars/breeze-macros_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/hadoop-hdfs-2.6.4.jar</li>
                                        <li>/opt/spark/jars/stream-2.7.0.jar</li>
                                        <li>/opt/spark/jars/bcprov-jdk15on-1.51.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/compress-lzf-1.0.3.jar</li>
                                        <li>/opt/spark/jars/jackson-xc-1.9.13.jar</li>
                                        <li>/opt/spark/jars/jetty-util-6.1.26.jar</li>
                                        <li>/opt/spark/jars/curator-client-2.6.0.jar</li>
                                        <li>/opt/spark/jars/commons-math3-3.4.1.jar</li>
                                        <li>/opt/spark/jars/jets3t-0.9.3.jar</li>
                                        <li>/opt/spark/jars/htrace-core-3.0.4.jar</li>
                                        <li>/opt/spark/jars/bonecp-0.8.0.RELEASE.jar</li>
                                        <li>/opt/spark/jars/jackson-databind-2.6.5.jar</li>
                                        <li>/opt/spark/jars/libfb303-0.9.2.jar</li>
                                        <li>/opt/spark/jars/datanucleus-rdbms-3.2.9.jar</li>
                                        <li>/opt/spark/jars/JavaEWAH-0.3.2.jar</li>
                                        <li>/opt/spark/jars/apache-log4j-extras-1.2.17.jar</li>
                                        <li>/opt/spark/jars/stringtemplate-3.2.1.jar</li>
                                        <li>/opt/spark/jars/commons-pool-1.5.4.jar</li>
                                        <li>/opt/spark/jars/jersey-guava-2.22.2.jar</li>
                                        <li>/opt/spark/jars/arpack_combined_all-0.1.jar</li>
                                        <li>/opt/spark/jars/commons-crypto-1.0.0.jar</li>
                                        <li>/opt/spark/jars/janino-3.0.0.jar</li>
                                        <li>/opt/spark/jars/metrics-graphite-3.1.2.jar</li>
                                        <li>/opt/spark/jars/commons-configuration-1.6.jar</li>
                                        <li>/opt/spark/jars/jodd-core-3.5.2.jar</li>
                                        <li>/opt/spark/jars/commons-lang-2.6.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0-2.jar</li>
                                        <li>/opt/spark/jars/spark-unsafe_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/xmlenc-0.52.jar</li>
                                        <li>/opt/spark/jars/jackson-jaxrs-1.9.13.jar</li>
                                        <li>/opt/spark/jars/commons-codec-1.10.jar</li>
                                        <li>/opt/spark/jars/jaxb-api-2.2.2.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-1.8.1.jar</li>
                                        <li>/opt/spark/jars/commons-httpclient-3.1.jar</li>
                                        <li>/opt/spark/jars/calcite-core-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/metrics-json-3.1.2.jar</li>
                                        <li>/opt/spark/jars/httpcore-4.4.4.jar</li>
                                        <li>/opt/spark/jars/spark-network-shuffle_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/datanucleus-api-jdo-3.2.6.jar</li>
                                        <li>/opt/spark/jars/shapeless_2.11-2.0.0.jar</li>
                                        <li>/opt/spark/jars/hive-metastore-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-core-2.22.2.jar</li>
                                        <li>/opt/spark/jars/spark-mesos_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-2.22.2.jar</li>
                                        <li>/opt/hadoop/etc/hadoop/</li>
                                </ul>
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                datasets = [{"label":"HeuristicTest","data":[{"x":1.2E9,"y":1212.7937275341744}]},{"label":"SimulatedAnnealingTest","data":[{"x":1.2E9,"y":1273.9290415502364}]},{"label":"ClaransTest","data":[{"x":1.2E9,"y":1377.5715233096012}]}];
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